[
https://issues.apache.org/jira/browse/SPARK-22347?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-22347:
------------------------------------
Assignee: (was: Apache Spark)
> UDF is evaluated when 'F.when' condition is false
> -------------------------------------------------
>
> Key: SPARK-22347
> URL: https://issues.apache.org/jira/browse/SPARK-22347
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.2.0
> Reporter: Nicolas Porter
> Priority: Minor
>
> Here's a simple example on how to reproduce this:
> {code}
> from pyspark.sql import functions as F, Row, types
> def Divide10():
> def fn(value): return 10 / int(value)
> return F.udf(fn, types.IntegerType())
> df = sc.parallelize([Row(x=5), Row(x=0)]).toDF()
> x = F.col('x')
> df2 = df.select(F.when((x > 0), Divide10()(x)))
> df2.show(200)
> {code}
> This raises a division by zero error, even if `F.when` is trying to filter
> out all cases where `x <= 0`. I believe the correct behavior should be not to
> evaluate the UDF when the `F.when` condition is false.
> Interestingly enough, when the `F.when` condition is set to `F.lit(False)`,
> then the error is not raised and all rows resolve to `null`, which is the
> expected result.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
